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Main Authors: Chiou, Yan-Ming, Price, Bob, Shen, Chien-Chung, Asif, Syed Ali
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2405.05919
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author Chiou, Yan-Ming
Price, Bob
Shen, Chien-Chung
Asif, Syed Ali
author_facet Chiou, Yan-Ming
Price, Bob
Shen, Chien-Chung
Asif, Syed Ali
contents Integrating mixed reality (MR) with artificial intelligence (AI) technologies, including vision, language, audio, reasoning, and planning, enables the AI-powered MR assistant [1] to substantially elevate human efficiency. This enhancement comes from situational awareness, quick access to essential information, and support in learning new skills in the right context throughout everyday tasks. This blend transforms interactions with both the virtual and physical environments, catering to a range of skill levels and personal preferences. For instance, computer vision enables the understanding of the user's environment, allowing for the provision of timely and relevant digital overlays in MR systems. At the same time, language models enhance comprehension of contextual information and support voice-activated dialogue to answer user questions. However, as AI-driven MR systems advance, they also unveil new vulnerabilities, posing a threat to user safety by potentially exposing them to grave dangers [5, 6].
format Preprint
id arxiv_https___arxiv_org_abs_2405_05919
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Protecting Human Users Against Cognitive Attacks in Immersive Environments
Chiou, Yan-Ming
Price, Bob
Shen, Chien-Chung
Asif, Syed Ali
Human-Computer Interaction
Integrating mixed reality (MR) with artificial intelligence (AI) technologies, including vision, language, audio, reasoning, and planning, enables the AI-powered MR assistant [1] to substantially elevate human efficiency. This enhancement comes from situational awareness, quick access to essential information, and support in learning new skills in the right context throughout everyday tasks. This blend transforms interactions with both the virtual and physical environments, catering to a range of skill levels and personal preferences. For instance, computer vision enables the understanding of the user's environment, allowing for the provision of timely and relevant digital overlays in MR systems. At the same time, language models enhance comprehension of contextual information and support voice-activated dialogue to answer user questions. However, as AI-driven MR systems advance, they also unveil new vulnerabilities, posing a threat to user safety by potentially exposing them to grave dangers [5, 6].
title Protecting Human Users Against Cognitive Attacks in Immersive Environments
topic Human-Computer Interaction
url https://arxiv.org/abs/2405.05919